IU-Xray  The IU-Xray [1]} is a widely-used benchmark dataset to evaluate the performance of radiology report generation methods. It contains 7,470 chest Xray images associated with 3,955 radiology reports.
For data preparation, we first exclude the entries without the findings section and are left with 6,471 images and 3,336 reports. Then, following [2]}, [3]}, [4]}, [5]}, we randomly split the dataset into 70%-10%-20% training-validation-testing splits. There is no overlap of patients across train, validation and test sets. At last, we preprocess the reports by tokenizing, converting to lower-cases and removing non-alpha tokens. The top 1,200 words, which cover over 99.0% word occurrences in the dataset, are included in our vocabulary.
